Assume that X, X2,... is a sequential sample from a B(1, 0) density, that L(0, a, n) = (0-a) +i [0.01(1+5/i)], and that 0 has

Assume that X₁, X2,... is a sequential sample from a B(1, 0) density, that L(0,

a, n) = (0-a²) +Σi [0.01(1+5/i)], and that 0 has a U(0, 1) prior density.Use Theorem 3 to show that the Bayes sequential procedure must be truncated at m = 17.